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IPython 5.x (Long Time Support) series is the last version of IPython to support Python 2. The IPython project pledged to not support Python 2 beyond 2020 [9] by being one of the first projects to join the Python 3 Statement, the 6.x series is only compatible with Python 3 and above. It is still possible though to run an IPython kernel and a ...
IPython continues to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython moved under the Jupyter name. [4] [5] Jupyter supports execution environments (called "kernels") in several dozen languages, including Julia, R, Haskell, Ruby, and Python (via the IPython kernel).
2020-01-10 Windows, Linux, macOS, FreeBSD, JVM, Solaris: Python: SWT: EPL: Yes Yes Yes (also remote, container, cluster, multi-threaded, and multi-process debugging) Unknown Unknown Unknown Unknown Yes Yes Unknown Yes Yes Yes Yes PyScripter Kiriakos Vlahos 4.2.5 2022-12-22 Windows: Delphi, Python: Unknown MIT: Unknown Yes Yes Un ...
Python: Application, general, web, scripting, artificial intelligence, scientific computing Yes Yes Yes Yes Yes Yes Aspect-oriented De facto standard via Python Enhancement Proposals (PEPs) R: Application, statistics Yes Yes Yes Yes No Yes No Racket: Education, general, scripting Yes Yes Yes Yes No Yes Modular, logic, meta No Raku
This makes it possible to integrate Python scripts with existing .NET applications or use .NET components within Python projects. Syntax and Semantics: IronPython aims to be as close as possible to the standard Python language (CPython), though there might be minor differences due to the underlying .NET platform.
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...
Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based ...
On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26] On 11 February 2019, version 7.0 was released, with support for Python 2.7 and ...